Know a great AI tool or AI news source? Submit it to AiByts

ai-coding

54 stories

Stories

← Back to the latest stories
  • Too Many MCP Tools? How to Fix MCP Token Bloat

    Too many MCP tools can burn tens of thousands of tokens before your first prompt. Audit your MCP token usage and fix context bloat with four steps.

    localskills.sh Blog9 min read
  • MCP Transports: stdio vs Streamable HTTP vs SSE

    MCP transports compared: stdio for local servers, Streamable HTTP for remote, and what the SSE deprecation means — with a decision tree and migration steps.

    localskills.sh Blog9 min read
  • How to Share Claude Skills With Your Team

    Learn how to share Claude skills with your team: git repos, plugin marketplaces, and hosted registries, plus versioning, rollout, and usage analytics.

    localskills.sh Blog8 min read
  • How to Debug an MCP Server with MCP Inspector

    Debug an MCP server fast with MCP Inspector: launch it against stdio and remote servers, test tools interactively, read MCP logs, and catch failures in CI.

    localskills.sh Blog10 min read
  • CodeHealth as a Prerequisite and Compass for Coding Agents

    Healthy code works better for both agents and humans 1. Healthy code is more AI-friendly: it is easier for coding agents to analyze, modify, and extend without introducing unintended side effects. High-quality code has never been more important than in the AI era.2.

    CodeHealth MCP Server by CodeScene Blog5 min read
  • Announcement: Deterministic PR Refactoring Agents

    CodeScene’s new PR Refactoring Agent analyzes the branch using deterministic Code Health data, performs targeted refactorings, and commits improvements back to the PR. The result is code that’s easier to review, AI-friendly, and more token efficient.

    CodeHealth MCP Server by CodeScene Blog4 min read
  • Unhealthy Code is Burning Your Token Usage - Here's the Data

    Our research across C++, Java, and Python shows that agents working on unhealthy codebases consume 35-45% more tokens to complete the same tasks. That’s in addition to the increased defect risk covered in earlier research. You're not just getting worse output.

    CodeHealth MCP Server by CodeScene Blog5 min read
  • Managing Several Coding Agents at Once

    Give coding agents separate workspaces, keep track of blocked tasks, and review changes while other agents keep working.

    Superset Blog3 min read
  • Working with Git Worktrees in Superset

    Create separate workspaces for coding agents, review their diffs, and merge changes. Learn what Git worktrees isolate and which resources remain shared.

    Superset Blog3 min read
  • Our Plan for Running 100 Coding Agents

    Right now at Superset, we're able to reliably manage 5-7 coding agents in parallel - whether that's Claude Code, Codex, etc. - at a time. Our goal is to be able to manage 100 coding agents in parallel each by the end of 2026.

    Superset Blog7 min read
  • Trae Cue Major Update

    Trae Cue gets its biggest monthly update with major improvements to model performance and speed.

    Trae Blog4 min read

Showing 54 of 54 stories

You're all caught up.

AiByts Weekly Brief

Get the top AI news and tools straight to your inbox every week.

Weekly · AI news

Join 15,000+ AI enthusiasts